Halide perovskites are at the forefront of active research in many applications, such as high
performance solar cells, photodetectors, and synapses and neurons for neuromorphic …

To tackle the current crisis of Moore's law, a sophisticated strategy entails the development
of multistable memristors, bionic artificial synapses, logic circuits, and brain-inspired …

Resistive switching in memristors is being amply investigated for different applications in
nonvolatile memory, neuromorphic computing, and programmable logic devices. Memristors …

Memristor devices have been investigated for their properties of resistive modulation that
can be used in data storage and brain-like computation elements as artificial synapses and …

The capabilities of artificial neural networks are rapidly evolving, so are the expectations for
them to solve ever more challenging tasks in numerous everyday situations. Larger, more …

A double stacked monochalcogenide GeS-based conducting-bridge random access
memory (CBRAM) device with a IGZO buffer layer is investigated for highly improved …

In this paper, we study the electronic structure of a helically magnetized magnetic Weyl
semimetal and propose a multistate memory device utilizing the transport in such a magnetic …

Based on the emergence of iontronic fluidic components for brain‐inspired computation, the
general dynamical behavior of nanopore channels is discussed. The main memory effects of …

Memristors offer advantages as a hardware solution for neuromorphic systems. However,
their nonlinear device property makes the weight update inaccurately and reduces the …

This work presents an edge-AI system built on capacitive ferroelectric random-access
memory (FeRAM) crossbar array, which is compatible with CMOS backend-of-line (BEOL) …